Performance Evaluation of Object Detection Considering C-V2X Communication Errors

Jeeyoo Kim; Ji Woong Choi; Donghyeon Kim; Sinuk Choi

doi:10.1109/ICTC58733.2023.10393631

Performance Evaluation of Object Detection Considering C-V2X Communication Errors

Jeeyoo Kim, Ji Woong Choi, Donghyeon Kim, Sinuk Choi

Department of Electrical Engineering and Computer Science

Daegu Gyeongbuk Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

To cope with the issue of high computational loads in vehicles equipped with multiple sensors for safe autonomous driving, vehicular edge computing (VEC) has been proposed. When applying VEC, it is important to analyze the recognition performance considering communication errors because data quality can be degraded due to communication errors, which can result in decreased recognition or processing performance. Previous studies have mainly focused on aspects such as delay and cost. However, there is a need for analysis specifically addressing recognition performance in light of communication errors. This paper suggests the optimal sensor resolution to enhance object detection performance based on the signal-to-noise ratio (SNR). We analyze the performance of each resolution according to SNR. Based on these results, we anticipate that selecting the optimal resolution for object detection based on channel conditions during offloading can further improve driving safety.

Original language	English
Title of host publication	ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence
Subtitle of host publication	Exploring the Frontiers of ICT Innovation
Publisher	IEEE Computer Society
Pages	750-752
Number of pages	3
ISBN (Electronic)	9798350313277
DOIs	https://doi.org/10.1109/ICTC58733.2023.10393631
State	Published - 2023
Event	14th International Conference on Information and Communication Technology Convergence, ICTC 2023 - Jeju Island, Korea, Republic of Duration: 11 Oct 2023 → 13 Oct 2023

Publication series

Name	International Conference on ICT Convergence
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	14th International Conference on Information and Communication Technology Convergence, ICTC 2023
Country/Territory	Korea, Republic of
City	Jeju Island
Period	11/10/23 → 13/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Vehicle-to-everything (V2X)
autonomous driving
object detection
offloading
vehicular edge computing (VEC)

Access to Document

10.1109/ICTC58733.2023.10393631

Cite this

Kim, J., Choi, J. W., Kim, D., & Choi, S. (2023). Performance Evaluation of Object Detection Considering C-V2X Communication Errors. In ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence: Exploring the Frontiers of ICT Innovation (pp. 750-752). (International Conference on ICT Convergence). IEEE Computer Society. https://doi.org/10.1109/ICTC58733.2023.10393631

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title = "Performance Evaluation of Object Detection Considering C-V2X Communication Errors",

abstract = "To cope with the issue of high computational loads in vehicles equipped with multiple sensors for safe autonomous driving, vehicular edge computing (VEC) has been proposed. When applying VEC, it is important to analyze the recognition performance considering communication errors because data quality can be degraded due to communication errors, which can result in decreased recognition or processing performance. Previous studies have mainly focused on aspects such as delay and cost. However, there is a need for analysis specifically addressing recognition performance in light of communication errors. This paper suggests the optimal sensor resolution to enhance object detection performance based on the signal-to-noise ratio (SNR). We analyze the performance of each resolution according to SNR. Based on these results, we anticipate that selecting the optimal resolution for object detection based on channel conditions during offloading can further improve driving safety.",

keywords = "Vehicle-to-everything (V2X), autonomous driving, object detection, offloading, vehicular edge computing (VEC)",

author = "Jeeyoo Kim and Choi, \{Ji Woong\} and Donghyeon Kim and Sinuk Choi",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th International Conference on Information and Communication Technology Convergence, ICTC 2023 ; Conference date: 11-10-2023 Through 13-10-2023",

year = "2023",

doi = "10.1109/ICTC58733.2023.10393631",

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series = "International Conference on ICT Convergence",

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Kim, J, Choi, JW, Kim, D & Choi, S 2023, Performance Evaluation of Object Detection Considering C-V2X Communication Errors. in ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence: Exploring the Frontiers of ICT Innovation. International Conference on ICT Convergence, IEEE Computer Society, pp. 750-752, 14th International Conference on Information and Communication Technology Convergence, ICTC 2023, Jeju Island, Korea, Republic of, 11/10/23. https://doi.org/10.1109/ICTC58733.2023.10393631

Performance Evaluation of Object Detection Considering C-V2X Communication Errors. / Kim, Jeeyoo; Choi, Ji Woong; Kim, Donghyeon et al.
ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence: Exploring the Frontiers of ICT Innovation. IEEE Computer Society, 2023. p. 750-752 (International Conference on ICT Convergence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Performance Evaluation of Object Detection Considering C-V2X Communication Errors

AU - Kim, Jeeyoo

AU - Choi, Ji Woong

AU - Kim, Donghyeon

AU - Choi, Sinuk

PY - 2023

Y1 - 2023

N2 - To cope with the issue of high computational loads in vehicles equipped with multiple sensors for safe autonomous driving, vehicular edge computing (VEC) has been proposed. When applying VEC, it is important to analyze the recognition performance considering communication errors because data quality can be degraded due to communication errors, which can result in decreased recognition or processing performance. Previous studies have mainly focused on aspects such as delay and cost. However, there is a need for analysis specifically addressing recognition performance in light of communication errors. This paper suggests the optimal sensor resolution to enhance object detection performance based on the signal-to-noise ratio (SNR). We analyze the performance of each resolution according to SNR. Based on these results, we anticipate that selecting the optimal resolution for object detection based on channel conditions during offloading can further improve driving safety.

AB - To cope with the issue of high computational loads in vehicles equipped with multiple sensors for safe autonomous driving, vehicular edge computing (VEC) has been proposed. When applying VEC, it is important to analyze the recognition performance considering communication errors because data quality can be degraded due to communication errors, which can result in decreased recognition or processing performance. Previous studies have mainly focused on aspects such as delay and cost. However, there is a need for analysis specifically addressing recognition performance in light of communication errors. This paper suggests the optimal sensor resolution to enhance object detection performance based on the signal-to-noise ratio (SNR). We analyze the performance of each resolution according to SNR. Based on these results, we anticipate that selecting the optimal resolution for object detection based on channel conditions during offloading can further improve driving safety.

KW - Vehicle-to-everything (V2X)

KW - autonomous driving

KW - object detection

KW - offloading

KW - vehicular edge computing (VEC)

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U2 - 10.1109/ICTC58733.2023.10393631

DO - 10.1109/ICTC58733.2023.10393631

M3 - Conference contribution

AN - SCOPUS:85184582122

T3 - International Conference on ICT Convergence

SP - 750

EP - 752

BT - ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence

PB - IEEE Computer Society

T2 - 14th International Conference on Information and Communication Technology Convergence, ICTC 2023

Y2 - 11 October 2023 through 13 October 2023

ER -

Kim J, Choi JW, Kim D, Choi S. Performance Evaluation of Object Detection Considering C-V2X Communication Errors. In ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence: Exploring the Frontiers of ICT Innovation. IEEE Computer Society. 2023. p. 750-752. (International Conference on ICT Convergence). doi: 10.1109/ICTC58733.2023.10393631

Performance Evaluation of Object Detection Considering C-V2X Communication Errors

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Keywords

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